- Article
(1331 KB) - Metadata XML
The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences
Download
Articles | Volume XLVIII-4-2024
https://doi.org/10.5194/isprs-archives-XLVIII-4-2024-263-2024
© Author(s) 2024. This work is distributed under the Creative Commons Attribution 4.0 License.
21 Oct 2024
| 21 Oct 2024
Accuracy Assessment of Land Use Land Cover Classification Using Machine Learning Classifiers in Google Earth Engine; A Case Study of Jammu District
Viewed
Total article views: 186 (including HTML, PDF, and XML)
Views and downloads (calculated since 21 Oct 2024)
Cumulative views and downloads
(calculated since 21 Oct 2024)
Viewed (geographical distribution)
Total article views: 179 (including HTML, PDF, and XML)
Thereof 179 with geography defined
and 0 with unknown origin.
| Country | # | % |
|---|
Latest update: 21 Jan 2025
The International Society for Photogrammetry and Remote Sensing is a non-governmental organization devoted to the development of international cooperation for the advancement of photogrammetry and remote sensing and their applications. The Society operates without any discrimination on grounds of race, religion, nationality, or political philosophy.
Useful Links
Useful External Links
Our Contact
c/o
Leibniz University Hannover
Institute of Photogrammetry and GeoInformation
Nienburger Str. 1
D-30167 Hannover
GERMANY
Email: isprs-sg@isprs.org